Triple

T11163026
Position Surface form Disambiguated ID Type / Status
Subject Autoroute A4 E264086 entity
Predicate hasJunctionWith P1018 FINISHED
Object Autoroute A1 E791558 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Autoroute A1 | Statement: [Autoroute A4, hasJunctionWith, Autoroute A1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autoroute A1
Context triple: [Autoroute A4, hasJunctionWith, Autoroute A1]
  • A. Autoroute A1 chosen
    Autoroute A1 is a major French motorway that connects Paris to Lille and serves as a key route toward Belgium and northern Europe.
  • B. Autoroute A10
    Autoroute A10 is a major French motorway linking Paris to the southwest of France, including cities such as Orléans, Tours, and Bordeaux.
  • C. Autoroute A3
    Autoroute A3 is a short French motorway in the Île-de-France region that connects Paris to its northeastern suburbs and links with major routes such as the A1 and A86.
  • D. Autoroute A5
    Autoroute A5 is a major French motorway that connects the Paris region to the east of the country, serving as an important route toward Troyes and beyond.
  • E. Autoroute A4
    Autoroute A4 is a major French motorway linking Paris to the eastern regions of France and onward toward Germany, serving as a key corridor for both passenger and freight traffic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8832fe88190a74d81f9ed547baa completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58ac418f08190b2936e8dbf9fb27d completed April 20, 2026, 2:09 a.m.
Created at: April 8, 2026, 9:29 p.m.